Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computing device comprising: a memory to store: a digital pattern associated with computer-recoverable digital content contained in multiple types of digital content; and a computer-executable processing rule defining a predetermined threshold of usefulness of the computer-recoverable digital content; a processor to: write the multiple types of digital content into a specified location in the memory; read the multiple types of digital content simultaneously to one another and independently of one another; identify the computer-recoverable digital content from the multiple types of digital content; compare the computer-recoverable digital content with the digital pattern; reassemble or repair the computer-recoverable digital content; and remove, from the specified location in the memory, the computer-recoverable digital content that does not satisfy the predetermined threshold of usefulness; a user interface to display the computer-recoverable digital content remaining in the specified location in the memory.
A computing device is designed to process and recover digital content from multiple types of digital data sources. The device includes a memory that stores a digital pattern used to identify recoverable digital content and a processing rule that defines a threshold of usefulness for determining which content should be retained. The device also includes a processor that writes multiple types of digital content into a specified memory location, reads the content simultaneously and independently, identifies recoverable digital content, compares it to the stored digital pattern, and reassembles or repairs the content as needed. The processor then removes any content that does not meet the predetermined usefulness threshold, leaving only the relevant content in memory. A user interface displays the remaining content for user access. This system is useful for extracting and refining digital information from diverse sources, ensuring only the most useful data is retained. The device automates the recovery and filtering process, improving efficiency in data extraction tasks.
2. The computing device of claim 1 , wherein the specified location in the memory comprises a virtual storage location to store the computer-recoverable digital content, and wherein the user interface is to display the computer-recoverable digital content stored in the virtual storage location.
This invention relates to computing devices that manage and display computer-recoverable digital content, such as files or data, stored in virtual storage locations. The problem addressed is the need for efficient storage and retrieval of digital content while ensuring it remains accessible and recoverable. The computing device includes a memory with a specified virtual storage location that holds the digital content, allowing it to be stored and retrieved as needed. A user interface is provided to display this content, ensuring users can access and interact with the stored data. The virtual storage location abstracts the physical storage details, enabling flexible and scalable management of digital content. The system ensures that the content remains recoverable, even if the physical storage medium changes or fails, by maintaining the content in a virtualized environment. This approach improves data accessibility and reliability while simplifying storage management. The user interface dynamically presents the content from the virtual storage, providing a seamless experience for users. The invention enhances data persistence and usability in computing systems by decoupling the content from physical storage constraints.
3. The computing device of claim 1 , wherein the memory is to store metadata of the computer-recoverable digital content in a retrievable renderable fragment of the computer-recoverable digital content stored in the memory.
This invention relates to computing devices that store and manage computer-recoverable digital content, such as files, documents, or media, with an emphasis on efficient metadata storage and retrieval. The problem addressed is the inefficiency of traditional systems where metadata is stored separately from the digital content, leading to increased storage overhead and slower access times. The computing device includes a memory configured to store computer-recoverable digital content, which may include files, documents, or media that can be recovered and processed by a computer. The memory also stores metadata associated with this digital content, but unlike conventional systems, the metadata is embedded directly within a retrievable, renderable fragment of the digital content itself. This fragment is a self-contained portion of the content that can be independently accessed, retrieved, and rendered without requiring separate metadata storage. By integrating metadata into a renderable fragment of the digital content, the system reduces storage redundancy and improves retrieval efficiency. The metadata may include information such as file properties, timestamps, author details, or other descriptive attributes. The fragment is structured in a way that allows it to be easily parsed and rendered by the computing device, ensuring seamless access to both the content and its associated metadata. This approach enhances data management by eliminating the need for external metadata storage, simplifying file handling, and improving performance in systems where quick access to metadata is critical. The invention is particularly useful in environments where digital content is frequently accessed, modified, or shared, such as cloud storage, document management systems, or media lib
4. The computing device of claim 3 , wherein the computer-recoverable digital content comprises complete or partial electronic files that have been deleted, corrupted, or embedded in another data structure.
This invention relates to computing devices designed to recover digital content that has been deleted, corrupted, or embedded within other data structures. The system includes a processor and memory storing instructions that, when executed, enable the device to analyze storage media to identify and extract recoverable digital content. The content may include complete or partial electronic files that were previously deleted, corrupted, or hidden within other data structures, such as archives or container files. The device employs specialized algorithms to scan storage media, detect fragmented or obscured data, and reconstruct the original files. The recovery process may involve parsing metadata, analyzing file system structures, and reconstructing data from residual fragments. The system is particularly useful for forensic investigations, data recovery, and cybersecurity applications where lost or corrupted files must be retrieved. The invention improves upon existing recovery methods by handling a broader range of file states, including partially deleted or embedded content, and provides a more robust solution for retrieving data from damaged or manipulated storage media.
5. The computing device of claim 1 , wherein the processor is to compare the computer-recoverable digital content with the digital pattern in a unique manner for each type of digital content being read.
This invention relates to computing devices that analyze digital content using adaptive pattern recognition. The problem addressed is the inefficiency of generic pattern-matching techniques when processing diverse digital content types, such as text, images, or structured data, which often require specialized analysis methods. The solution involves a computing device with a processor that compares digital content with predefined digital patterns in a unique manner tailored to each content type. For example, text may be analyzed using natural language processing, while images might undergo pixel-based pattern matching. The device includes memory to store the digital content and patterns, and an input interface to receive the content. The processor dynamically selects the appropriate comparison method based on the content type, improving accuracy and efficiency. This adaptive approach ensures that each content type is evaluated using the most effective pattern recognition technique, enhancing the device's ability to extract meaningful insights or detect anomalies. The invention is particularly useful in applications like document analysis, fraud detection, or automated content classification where different content types require distinct analytical approaches.
6. The computing device of claim 1 , wherein the processor is to validate the computer-recoverable digital content based on whether the computer-recoverable digital content is in a form that is useable according to a renderability requirement.
This invention relates to computing devices that process and validate computer-recoverable digital content, such as documents, media files, or other data, to ensure they meet specific usability criteria. The problem addressed is the need to verify that digital content is in a form that can be properly rendered or utilized by a computing system, preventing errors or incompatibility issues during processing. The computing device includes a processor configured to validate the digital content by checking whether it conforms to a renderability requirement. This requirement defines the necessary conditions for the content to be usable, such as correct file format, structural integrity, or compatibility with rendering software. The validation process ensures that the content is not corrupted, incomplete, or otherwise unfit for its intended purpose. If the content fails validation, the system may reject it, prompt for correction, or apply transformations to make it compliant. The invention may also involve additional features, such as generating alerts for non-compliant content, logging validation results, or integrating with external systems to retrieve or modify the content. The validation process may be automated, allowing seamless integration into workflows where digital content must meet strict usability standards. This ensures reliable processing, reduces manual intervention, and enhances system efficiency.
7. The computing device of claim 6 , wherein the user interface is to display only validated computer-recoverable digital content.
A computing device is configured to process and display digital content, ensuring that only validated, computer-recoverable digital content is presented to the user. The device includes a user interface that filters out unvalidated or non-recoverable content, preventing the display of corrupted, incomplete, or otherwise invalid data. This validation process ensures that the content is both intact and retrievable by the computing system, maintaining data integrity and reliability. The device may also include a processor and memory to support these operations, with the processor executing instructions to validate and manage the digital content before it is displayed. The user interface dynamically adjusts to exclude any content that fails validation, providing a seamless and error-free experience. This approach is particularly useful in systems where data accuracy and recoverability are critical, such as in enterprise applications, cloud storage, or digital archiving systems. By enforcing strict validation rules, the device minimizes the risk of displaying corrupted or unusable data, enhancing user trust and system reliability.
8. A computer-executable method for salvaging renderable content comprising: providing a set of instructions comprising: a digital pattern associated with digital content to be salvaged; and a predetermined minimum threshold of usefulness of the digital content; providing a digital data source comprising digital content to be salvaged, wherein the digital content comprises multiple types of digital content; simultaneously reading the digital content by reviewing the multiple types of digital content independently of one another using separate software salvaging modules to review each specific type of digital content; filtering the digital content by identifying potentially recoverable digital content; comparing the digital pattern to the filtered digital content to indicate matches between the filtered digital content and the digital pattern; reassembling or repairing the potentially recoverable digital content; validating the matched digital content by determining whether the matched digital content is in a form that meets the predetermined minimum threshold of usefulness; and displaying the validated digital content.
This invention relates to a method for salvaging renderable digital content from a data source containing multiple types of digital content. The method addresses the problem of recovering useful digital content from corrupted, fragmented, or incomplete data sources where different types of content (e.g., images, text, audio, video) may require distinct processing approaches. The method begins by providing a set of instructions that includes a digital pattern associated with the target content to be salvaged and a predetermined minimum threshold of usefulness, which defines the acceptable quality or completeness of the recovered content. A digital data source containing multiple types of digital content is then provided. The method simultaneously reads and processes the digital content by using separate software modules, each specialized for a specific type of content (e.g., one module for images, another for text). This independent processing allows for efficient and accurate identification of recoverable content. The method filters the digital content to identify potentially recoverable portions, then compares these against the provided digital pattern to find matches. Matched content is reassembled or repaired as needed. The recovered content is validated by checking whether it meets the predetermined usefulness threshold. Finally, the validated content is displayed for further use. This approach ensures that only high-quality, usable content is recovered, improving the efficiency of digital content salvage operations.
9. The computer-executable method for salvaging renderable content of claim 8 , comprising: segmenting the digital data source into spans of data; storing a current span of data to be read, a predetermined number of previously read spans of data, and a subsequent span of data to be read; and reading the entire current span of data by all of the software salvaging modules prior to reading the subsequent span of data.
This invention relates to a method for salvaging renderable content from a digital data source, particularly in scenarios where data corruption or loss may occur. The method addresses the challenge of efficiently recovering usable content from potentially damaged or incomplete digital files, such as video, audio, or other renderable data streams. The method involves segmenting the digital data source into discrete spans of data. These spans are processed in a controlled manner to ensure data integrity and recovery. Specifically, the method stores a current span of data that is being read, a predetermined number of previously read spans, and a subsequent span that is scheduled for reading. This buffering approach allows for contextual analysis and recovery of content even if individual spans are corrupted. All software modules involved in the salvaging process read the entire current span of data before moving to the subsequent span. This ensures that each module processes the data in a synchronized manner, reducing the risk of data loss or misalignment. The method is designed to work with multiple salvaging modules, each potentially performing different types of recovery or analysis on the data. By maintaining a buffer of previously read spans, the method enables cross-span analysis, which can help in reconstructing missing or corrupted data. The predetermined number of previously read spans ensures that enough historical context is available for effective recovery. The method is particularly useful in applications where real-time or near-real-time data recovery is required, such as in media playback systems or data streaming environments.
10. The computer-executable method for salvaging renderable content of claim 9 , comprising searching within a span of data for the digital pattern.
This invention relates to a method for salvaging renderable content from a data stream, particularly in scenarios where the data may be corrupted or incomplete. The method addresses the problem of recovering usable digital content, such as images, videos, or other renderable data, when the original data structure is damaged or partially lost. The technique involves identifying and extracting valid digital patterns within a span of data, even if the surrounding data is corrupted or missing. The method first defines a digital pattern, which represents a recognizable structure or signature within the data stream. It then scans a specified span of data to locate instances of this pattern. Once found, the method isolates the renderable content associated with the pattern, allowing for reconstruction or display of the content despite the presence of errors or gaps in the data. This approach is particularly useful in applications like video streaming, file recovery, or data transmission where maintaining content integrity is critical. The method ensures that usable portions of the data are preserved and can be rendered, even if the entire data stream is not intact.
11. The computer-executable method for salvaging renderable content of claim 9 , comprising preventing any one of the software salvaging modules to read a subsequent span of data until all of the software salvaging modules have read the entire current span of data.
This invention relates to a method for salvaging renderable content from corrupted or incomplete data files, particularly in scenarios where multiple software modules are involved in the recovery process. The problem addressed is ensuring data integrity and synchronization when multiple modules attempt to read and process overlapping or sequential spans of data simultaneously, which can lead to conflicts, errors, or incomplete recovery. The method involves a coordinated approach where a system prevents any individual software salvaging module from advancing to a subsequent span of data until all modules have fully processed the current span. This ensures that all modules operate on the same data segment at the same time, avoiding race conditions or inconsistencies in the recovered content. The modules may be specialized for different types of data (e.g., images, text, or video) or different recovery techniques (e.g., error correction, interpolation, or reconstruction). By enforcing this synchronization, the method guarantees that the salvaged content is coherent and free from artifacts caused by asynchronous processing. The technique is particularly useful in applications like file recovery, media repair, or data forensics, where multiple recovery algorithms must work in parallel without interfering with each other. The method ensures that the final output is a complete and usable version of the original content, even when the input data is fragmented or corrupted.
12. The computer-executable method for salvaging renderable content of claim 9 , comprising comparing the spans of data to one another to determine whether the digital content contained in any particular span of data is recoverable.
This invention relates to digital content recovery, specifically salvaging renderable content from corrupted or incomplete data spans. The problem addressed is the difficulty in recovering usable digital content when data is fragmented or partially lost, such as in file corruption, transmission errors, or storage failures. The method involves analyzing multiple spans of data to assess their integrity and determine whether the digital content within each span is recoverable. By comparing the spans, the system identifies which portions of the data are intact and can be rendered, even if other parts are damaged or missing. This allows for partial recovery of usable content rather than discarding the entire dataset. The approach is particularly useful in scenarios where complete data reconstruction is impractical, such as in multimedia files, databases, or real-time data streams. The method may also involve preprocessing steps to identify and isolate data spans before comparison, ensuring efficient recovery of the maximum possible renderable content. The solution improves data resilience by enabling partial recovery, reducing data loss, and enhancing user experience in applications where complete data integrity is not always achievable.
13. The computer-executable method for salvaging renderable content of claim 9 , comprising: hashing data segments within a span of data prior to performing simultaneous salvaging operations on the digital data source; storing hashes for each of the data segments that do not contain any salvageable content; and comparing the hash of each data segment with the hashes that do not contain any salvageable content.
This invention relates to a method for salvaging renderable content from digital data sources, particularly in scenarios where data corruption or loss occurs. The method addresses the challenge of efficiently recovering usable content from partially corrupted or fragmented digital data, such as files, storage media, or network transmissions, by leveraging hash-based comparison techniques to identify and exclude non-salvageable segments. The method involves hashing individual data segments within a defined span of data before performing simultaneous salvaging operations. Each data segment is processed to determine whether it contains salvageable content. Hashes of segments that are confirmed to lack salvageable content are stored for reference. During the salvaging process, the hash of each new data segment is compared against the stored hashes of non-salvageable segments. If a match is found, the segment is discarded, while segments without a match are processed further to recover renderable content. This approach improves efficiency by avoiding redundant processing of known non-salvageable segments, thereby optimizing resource usage and speeding up the recovery of usable data. The method is particularly useful in applications such as data recovery, digital forensics, and error correction systems where partial data loss is common.
14. The computer-executable method for salvaging renderable content of claim 13 , comprising skipping operations for salvaging renderable content for each data segment with a first hash that matches a second hash that does not contain any salvageable content.
This invention relates to a method for efficiently salvaging renderable content from data segments in a computing system. The problem addressed is the computational overhead and inefficiency in processing data segments that do not contain salvageable content, which can waste resources and slow down the overall rendering process. The method involves a two-step process to optimize content salvage. First, it identifies data segments that have already been processed and determined to lack salvageable content. This is done by comparing a first hash value associated with a data segment to a second hash value stored in a database or cache. The second hash represents a previously processed data segment that was found to contain no salvageable content. If the first hash matches the second hash, the method skips the salvage operations for that data segment, avoiding unnecessary processing. This approach reduces computational overhead by preventing redundant checks on data segments that are known to be non-salvageable. The method is particularly useful in systems where large volumes of data are processed, such as in video rendering, image processing, or other multimedia applications. By avoiding redundant operations, it improves efficiency and performance while ensuring that only data segments with potential salvageable content are processed. The technique leverages hash-based comparison to quickly determine whether a data segment should be skipped, making it a scalable solution for high-throughput environments.
15. A non-transitory computer readable medium comprising computer-executable instructions that when executed cause a processor of a computing device to: receive a digital pattern associated with digital content contained in a digital data source comprising a plurality of types of digital content; receive a processing rule comprising a useful standard of the digital content; read a type of digital content of the plurality of types of digital content independently of another type of digital content of the plurality of types of digital content, and in parallel to one another using separate software salvaging modules for each type of digital content; identify potentially recoverable digital content from the plurality of types of digital content; match the potentially recoverable digital content with the digital pattern; determine whether the matched potentially recoverable digital content satisfies the useful standard; reassemble or repair the matched potentially recoverable digital content; validate the matched potentially recoverable digital content as recoverable digital content upon satisfying a predetermined recoverability requirement; and display the validated recoverable digital content.
This invention relates to digital content recovery systems, specifically for salvaging and reconstructing digital data from corrupted or fragmented sources. The system addresses the challenge of recovering diverse types of digital content (e.g., images, documents, media files) from a single data source, where traditional methods often fail due to mixed file types or incomplete data. The solution involves a parallel processing approach using specialized software modules tailored to each content type, enabling simultaneous extraction and reconstruction of multiple file types. The system receives a digital pattern (e.g., a template or signature) associated with the target content and a processing rule defining a "useful standard" (e.g., minimum quality or completeness criteria). It independently reads each content type in parallel, identifies potentially recoverable fragments, matches them against the digital pattern, and evaluates whether they meet the useful standard. Recoverable content is then reassembled or repaired, validated against a recoverability requirement, and displayed to the user. This method improves recovery efficiency and accuracy by leveraging parallel processing and type-specific modules, ensuring higher-quality reconstructions from damaged or incomplete digital sources.
16. The non-transitory computer readable medium of claim 15 , wherein the processor is to instruct a software salvaging module to skip ahead in a span of data, during a reading process of bytes of data, by a length of bytes that the software salvaging module is searching.
A system and method for efficient data recovery in corrupted or fragmented software environments involves a processor executing a software salvaging module to reconstruct executable software from damaged or incomplete data. The module analyzes data spans to identify and extract valid software components, such as code segments, libraries, or configuration files, even when the data is partially corrupted or improperly stored. During the reading process, the module can skip ahead in the data span by a predetermined length of bytes corresponding to the size of the data being searched, optimizing the recovery process by avoiding unnecessary byte-by-byte scanning. This allows for faster and more accurate reconstruction of software from fragmented or incomplete storage media, such as damaged disks, incomplete downloads, or corrupted archives. The system is particularly useful in scenarios where traditional recovery methods fail due to extensive data corruption or fragmentation, ensuring that usable software components are salvaged efficiently. The module may also prioritize critical components to maximize the functionality of the recovered software.
17. The non-transitory computer readable medium of claim 16 , wherein the software salvaging module is to: step through the bytes of data in a span of data associated with a single data content type; land on a first byte of data in the span of data; determine whether the first byte of data matches one of the bytes associated with the single data content type; and check whether the digital pattern is present in the span of data when the first byte of data matches one of the bytes associated with the single data content type.
This invention relates to data recovery techniques for salvaging software or digital content from corrupted or fragmented storage media. The problem addressed is the difficulty in recovering usable data when files are partially overwritten, fragmented, or otherwise damaged, making traditional recovery methods ineffective. The invention involves a software salvaging module that analyzes data spans associated with a specific content type, such as documents, images, or executable files. The module steps through the bytes of data within a span, starting with the first byte, and checks whether it matches any byte pattern associated with the expected content type. If a match is found, the system then verifies whether a predefined digital pattern—such as a file signature or header—is present in the span. This allows the recovery of intact portions of data even if the file structure is corrupted. The method ensures that only relevant data is processed, improving efficiency and accuracy in recovery operations. By focusing on content-type-specific byte patterns, the system can distinguish between valid data and noise, enhancing the likelihood of successful recovery. This approach is particularly useful in forensic analysis, data recovery, and system diagnostics where partial or damaged files must be reconstructed.
18. The non-transitory computer readable medium of claim 17 , wherein the software salvaging module is to check whether a second byte of data that is next to or previous to the first byte of data matches the next or previous byte of data in the digital pattern.
A system for data recovery in digital storage media addresses the challenge of retrieving corrupted or partially lost data files. The invention includes a software salvaging module that analyzes digital patterns within data files to reconstruct missing or damaged portions. The module identifies a first byte of data in a digital pattern and checks whether adjacent bytes (either the next or previous byte) match the expected sequence in the pattern. This verification step ensures data integrity during recovery. The system may also include a pattern matching module that compares the salvaged data against known digital patterns to confirm accuracy. Additionally, a data reconstruction module uses the verified bytes to rebuild the original data structure, allowing for partial or complete recovery of the corrupted file. The invention is particularly useful in scenarios where data corruption occurs due to storage medium degradation, software errors, or hardware failures, providing a method to restore data without requiring full file backups. The approach leverages pattern recognition and byte-level validation to enhance recovery success rates.
19. The non-transitory computer readable medium of claim 18 , wherein the software salvaging module is to shift to a next byte of data when the first byte of data matches the first byte of data in the digital pattern to determine whether the potentially recoverable digital content matches with the digital pattern.
A system and method for recovering digital content from corrupted or incomplete data files involves a software salvaging module that analyzes data to identify and reconstruct potentially recoverable digital content. The module compares data bytes against a predefined digital pattern to determine matches. When the first byte of data matches the first byte of the digital pattern, the module shifts to the next byte to continue the comparison, ensuring accurate pattern recognition. This process allows the system to identify and recover digital content even if the data is fragmented or partially corrupted. The salvaging module may also include a pattern matching algorithm that dynamically adjusts to variations in the data structure, improving recovery success rates. The system is particularly useful in scenarios where data integrity is compromised, such as in damaged storage media or incomplete file transfers. By systematically comparing data bytes against known patterns, the module can reconstruct usable digital content from otherwise unusable data. The technology is applicable in data recovery, digital forensics, and file repair applications.
20. The non-transitory computer readable medium of claim 18 , wherein the software salvaging module is to shift to a previous byte of data when the first byte of data matches a second byte of data in the digital pattern to determine whether the potentially recoverable digital content matches with the digital pattern.
A system for recovering digital content from corrupted or incomplete data files involves a software salvaging module that analyzes data patterns to identify and reconstruct usable content. The module compares sequential bytes of data to a predefined digital pattern to determine if the data matches the expected structure. If the first byte of a data sequence matches a subsequent byte in the pattern, the module shifts backward to the previous byte to reassess alignment. This adjustment helps correct misalignment errors that may occur due to data corruption or incomplete file transfers. The system is designed to salvage recoverable content from partially damaged files, such as multimedia files, documents, or other structured data formats, by dynamically realigning the data stream to match the expected pattern. The salvaging process ensures that even if the initial byte comparison fails, the system can still identify and recover valid content by re-evaluating the data sequence from an adjusted position. This approach improves the reliability of data recovery in scenarios where files are corrupted or incomplete, allowing users to retrieve usable information that would otherwise be lost.
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December 1, 2020
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